Thanks. I have seen similar valuation methods elsewhere which might interest you. 1000minds’ Multi-Criteria Decision Analysis (MCDA/MCDM) article has a list of methods, with summaries, like Direct rating, Points allocation, SMART, SMARTER, AHP, etc.
So, when you have 31111, each number is in a separate dimension and there’s no problem so far. Then the valuation method handles the hard part. Each valuation method you quote (and many MCDM ones) have a common property: they rely on the intuition or judgment of a decision maker. The decision maker is asked to make comparisons involving multiple dimensions. But that doesn’t explain how to do it; it relies on people somehow doing it by unspecified methods and then stating answers. Does that make sense and do you see the problem? Do you think you know how decision makers can come up with the answers needed in by these valuation methods?
Put another way, I read the valuation methods as attempts to make pre-existing knowledge more explicit and quantified. It assumes a decision maker already knows some answers about how to value different dimensions against each other, rather than telling him how to do it. But I’m interested in how to get the knowledge in the first place.
Thanks. I have seen similar valuation methods elsewhere which might interest you. 1000minds’ Multi-Criteria Decision Analysis (MCDA/MCDM) article has a list of methods, with summaries, like Direct rating, Points allocation, SMART, SMARTER, AHP, etc.
So, when you have 31111, each number is in a separate dimension and there’s no problem so far. Then the valuation method handles the hard part. Each valuation method you quote (and many MCDM ones) have a common property: they rely on the intuition or judgment of a decision maker. The decision maker is asked to make comparisons involving multiple dimensions. But that doesn’t explain how to do it; it relies on people somehow doing it by unspecified methods and then stating answers. Does that make sense and do you see the problem? Do you think you know how decision makers can come up with the answers needed in by these valuation methods?
Put another way, I read the valuation methods as attempts to make pre-existing knowledge more explicit and quantified. It assumes a decision maker already knows some answers about how to value different dimensions against each other, rather than telling him how to do it. But I’m interested in how to get the knowledge in the first place.